{"id":"W1997687963","doi":"10.1007/s10980-014-0118-8","title":"A new arc–chord ratio (ACR) rugosity index for quantifying three-dimensional landscape structural complexity","year":2014,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Sustainability Victoria; Natural Sciences and Engineering Research Council of Canada; Victoria University; University of Victoria","keywords":"Rugosity; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003036422,0.000210563,0.0003552518,0.0000415356,0.0003552384,0.00005237321,0.0003256437,0.0001695196,0.00587102],"category_scores_gemma":[0.00002861247,0.0001609632,0.00009688672,0.0001219146,0.00002835534,0.0001972618,0.0002207106,0.0001378236,0.0004306088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003796664,"about_ca_system_score_gemma":0.00001976827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000724328,"about_ca_topic_score_gemma":0.07760195,"domain_scores_codex":[0.9985111,0.00005956246,0.0002963914,0.0004513442,0.0001864453,0.0004951972],"domain_scores_gemma":[0.9991421,0.0002293215,0.0001467896,0.0002842057,0.00001552469,0.0001820244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370611,0.00002119647,0.9900224,0.00003267436,0.00002473944,0.00000269208,0.00009270601,0.002154409,0.0001282685,0.0005497066,0.005612537,0.001221617],"study_design_scores_gemma":[0.001364,0.0001574227,0.7735203,0.000007170397,0.00002541251,0.0000267824,0.00001484242,0.2143814,0.00006399237,0.006521098,0.003687027,0.0002306346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937421,0.00002672099,0.002794981,0.0005968141,0.0007033914,0.0003428682,0.00001905897,0.00007689598,0.001697147],"genre_scores_gemma":[0.9968086,0.000002104814,0.002024703,0.000535938,0.0003631237,0.00002573841,0.00009541484,0.00001815303,0.0001262258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2165021,"threshold_uncertainty_score":0.9950377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604780213135999,"score_gpt":0.2519472144688928,"score_spread":0.2258994123375328,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}